Triple
T10742140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMB bus network |
E253352
|
entity |
| Predicate | hasMobileApp |
P1395
|
FINISHED |
| Object | TMB App |
E878172
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: TMB App | Statement: [TMB bus network, hasMobileApp, TMB App]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMB App Context triple: [TMB bus network, hasMobileApp, TMB App]
-
A.
TMB App
chosen
TMB App is the official mobile application for Barcelona’s public transport network, providing route planning, real-time information, and ticketing services for metro, bus, and other transit options.
-
B.
TMB
TMB is the commonly used abbreviation for the Technical Management Board, a governing body that oversees and coordinates technical and standardization activities within its organization.
-
C.
TMB
TMB is the main public transportation operator in the Barcelona metropolitan area, managing the city’s metro and bus networks.
-
D.
TMS
TMS (Test Mode Select) is the JTAG control signal used to navigate the TAP (Test Access Port) state machine in IEEE 1149.1 boundary-scan operations.
-
E.
TPG application
TPG application is the official mobile app that allows users to plan trips, access real-time information, and purchase tickets for Geneva’s public transport network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710456ec88190ad8aff8804d13aa9 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22fc13b0819098caf88328397053 |
completed | April 14, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:15 p.m.